Finalized:

Author(s):

View/Download:

Purpose: The reason for the poster is to (1) introduce an integrated research lifecycle and data curation processes model, (2) list the functional areas of the EarthCube that will be supported by funded projects' components/products, and (3) articulate a conceptual model for gap analysis of funded projects.

Design/methodology: The objectives for this poster were achieved from (1) an adaption, compilation, and integration of research lifecycle and data curation process models, (2) results from the funded projects questionnaire (e.g. Questions 13 and 17), and (3) the gap analysis section of the developing 2015 EarthCube Strategic Technology Plan.

Findings: The developing integrated research lifecycle and data curation processes model received favorable responses from researchers/scientists, the questionnaire response rate was 100% and funded projects support all functional areas of EarthCube, there is very high interest in research collaboration among funded projects, and the model for gap analysis was peer-reviewed.

Research limitations: The poster focuses on the EarthCube funded projects and is not generalizable. Suggestions for further research include integration of crosscutting and interdisciplinary domains and perspectives.

Practical implications: This poster highlights the significance of mapping data management and curation processes to funded projects components to functional areas of EarthCube in support of developing data management and sharing requirements (e.g. NSF Public Access Plan).

Social implications: The impact on society of this research include an information science discipline perspective of EarthCube and potential for increased collaboration across different disciplinary domains and funded projects.

Value: This poster introduces an integrated research data management model, responses from funded projects questionnaire, and presents a model for gap analysis that is of value to stakeholders, funded projects, users, and the research community.

EarthCube is a collaboration between the Division of Advanced Cyberinfrastructure (ACI) and the Geosciences Directorate (GEO) of the US National Science Foundation (NSF). For official NSF EarthCube content, please see: http://www.nsf.gov/geo/earthcube/.